Mid-Level Data Scientist: Advanced Analytics

Akima

Northern (KY)

Hybrid

USD 130,000 - 155,000

Full time

5 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Life insurance
401(k)
Paid PTO

Job summary

Akima Mission Optimization (AMO) seeks an experienced Mid-Level Data Scientist to apply advanced analytics, ML, and visualization techniques to large datasets supporting data-driven decisions and mission requirements.

You will design models, analyze structured and unstructured data, and create analytics products, dashboards, and infographics for stakeholders. A TS clearance is required or the ability to obtain one.

Qualifications

  • Bachelor’s degree in a technical field or related discipline from an accredited college or university is desired.
  • Five (5) years of relevant professional experience is desired.
  • Experience with advanced data analysis, statistical modeling, and programming techniques.
  • Experience with large structured and unstructured datasets.
  • Experience applying machine learning, data mining, predictive modeling, and quantitative analysis techniques.
  • Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
  • Knowledge of big data technologies such as Hadoop, Spark, or similar platforms.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Ability to translate complex analytical results into clear, actionable findings and visualizations.
  • Must hold an applicable IAT Level II certification, such as CompTIA Security+.
  • Active Top Secret security clearance or the ability to obtain and maintain a Top Secret clearance.

Responsibilities

  • Apply advanced analytical, statistical, and programming techniques to interpret complex datasets and extract meaningful insights.
  • Design, develop, and implement analytical models, algorithms, and statistical analyses to address business and mission challenges.
  • Work with large volumes of structured and unstructured data to identify patterns, trends, correlations, and relationships.
  • Apply machine learning and data mining techniques to analyze complex datasets and support data-driven decision-making.
  • Develop and utilize predictive data models and quantitative analysis techniques to evaluate targeted data sources.
  • Identify appropriate data sources, indicators, relationships, and methodologies to support analytical and intelligence requirements.
  • Leverage knowledge of databases and data management methodologies to collect, organize, analyze, and interpret information.
  • Develop analytical products and intelligence support packages based on identified data, trends, relationships, and findings.
  • Develop and support the creation of infographics, dashboards, and other data visualization products across a range of media platforms.
  • Utilize data visualization tools such as Tableau and Power BI to communicate complex information in a clear and meaningful manner.
  • Apply big data technologies, including platforms such as Hadoop and Spark, to support the processing and analysis of large datasets.
  • Evaluate analytical results and communicate findings, trends, and recommendations to program leadership and other stakeholders.
  • Collaborate with technical, analytical, program management, and customer teams to identify data requirements and develop effective analytical solutions.
  • Support continuous improvement of analytical methodologies, models, tools, and data products.

Skills

Statistical modeling
Machine learning
Data visualization
Big data technologies
Hadoop
Spark
IAT Level II certification
Top Secret clearance
Data analysis
Analytical thinking

Education

Bachelor’s degree in a technical field

Tools

Tableau
Power BI
Hadoop
Spark
Big data platforms

Job description

Akima Mission Optimization (AMO) seeks an experienced Mid-Level Data Scientist to apply advanced analytics, ML, and visualization techniques to large datasets supporting data-driven decisions and mission requirements.

You will design models, analyze structured and unstructured data, and create analytics products, dashboards, and infographics for stakeholders. A TS clearance is required or the ability to obtain one.

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